Increase performance by filtering your queries when requesting information on Batch resources like pools, jobs, tasks, and compute nodes.
Increase efficiency and lower costs by using fewer compute nodes and running concurrent tasks on each node in an Azure Batch pool
Use the application packages feature of Azure Batch to easily manage multiple applications and versions for installation on Batch compute nodes.
Learn how to execute Message Passing Interface (MPI) applications using the multi-instance task type in Azure Batch.
Create, delete, and modify Azure Batch account resources with the Batch Management .NET library.
Enable automatic scaling on a cloud pool to dynamically adjust the number of compute nodes in the pool.
Learn about options with Microsoft HPC Pack to create and manage a Windows high performance computing (HPC) cluster in the Azure cloud
Lists technical resources to help you run your large-scale parallel, batch, and high performance computing (HPC) workloads in Azure.
Learn how to create an Azure Batch account in the Azure portal to run large-scale parallel workloads in the cloud
Use job-level preparation tasks to minimize data transfer to Azure Batch compute nodes, and release tasks for node cleanup at job completion.
Learn how to process your parallel compute workloads on pools of Linux virtual machines in Azure Batch.
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